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Principal component analysis–artificial neural network-based model for predicting the static strength of seasonally frozen soils
Seasonally frozen soils are exposed to freeze‒thaw cycles every year, leading to mechanical property deterioration. To reasonably describe the deterioration of soil under different conditions, machine learning (ML) technology is used to establish a prediction model for soil static strength. Six key...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10522631/ https://www.ncbi.nlm.nih.gov/pubmed/37752230 http://dx.doi.org/10.1038/s41598-023-43462-7 |